首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis
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Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis

机译:基于传感器的可穿戴式步态表征是否足以克服测量协议之间的差异?多发性硬化症患者的多中心语用研究

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摘要

Inertial measurement units (IMUs) allow accurate quantification of gait impairment of people with multiple sclerosis (pwMS). Nonetheless, it is not clear how IMU-based metrics might be influenced by pragmatic aspects associated with clinical translation of this approach, such as data collection settings and gait protocols. In this study, we hypothesised that these aspects do not significantly alter those characteristics of gait that are more related to quality and energetic efficiency and are quantifiable via acceleration related metrics, such as intensity, smoothness, stability, symmetry, and regularity. To test this hypothesis, we compared 33 IMU-based metrics extracted from data, retrospectively collected by two independent centres on two matched cohorts of pwMS. As a worst-case scenario, a walking test was performed in the two centres at a different speed along corridors of different lengths, using different IMU systems, which were also positioned differently. The results showed that the majority of the temporal metrics (9 out of 12) exhibited significant between-centre differences. Conversely, the between-centre differences in the gait quality metrics were small and comparable to those associated with a test-retest analysis under equivalent conditions. Therefore, the gait quality metrics are promising candidates for reliable multi-centric studies aiming at assessing rehabilitation interventions within a routine clinical context.
机译:惯性测量单位(IMU)可以准确量化多发性硬化症(pwMS)患者的步态障碍。但是,尚不清楚与这种方法的临床翻译相关的实用方面如何影响基于IMU的指标,例如数据收集设置和步态协议。在这项研究中,我们假设这些方面不会显着改变步态特征,这些特征与质量和能量效率更相关,并且可以通过与加速度相关的指标(例如强度,平滑度,稳定性,对称性和规律性)进行量化。为了检验这一假设,我们比较了从数据中提取的33种基于IMU的指标,这些指标是由两个独立的中心在两个相匹配的pwMS队列中回顾性收集的。在最坏的情况下,使用不同的IMU系统在两个中心以不同的速度沿着不同长度的走廊进行步行测试。结果表明,大多数时间指标(12个中的9个)表现出明显的中心间差异。相反,步态质量指标的中心间差异很小,与在相同条件下进行重测分析相关的差异可比。因此,步态质量指标是可靠的多中心研究的有希望的候选者,旨在评估常规临床情况下的康复干预措施。

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